Building AI Voice Agents
Build and deploy AI-powered voice agents for customer service, sales, and appointment booking. Learn the STT-LLM-TTS pipeline, conversation design, and voice-specific prompting.
Your phone rings. A friendly voice greets you, understands your question, pulls up your account, and schedules an appointment — all in under two minutes. You hang up satisfied. But there was no human on the other end.
That’s a voice AI agent. And they’re everywhere now.
In 2026, 80% of businesses plan to integrate voice AI into customer service. Gartner estimates voice AI will cut contact center labor costs by $80 billion this year alone. The market is growing at 34.8% annually, from $2.4 billion to a projected $47.5 billion by 2034.
But here’s what most people miss — building a voice agent isn’t just about picking a platform and pressing “go.” The conversation design, the prompting, the architecture decisions? Those make the difference between an agent customers love and one they hang up on.
This course takes you from zero to a working voice agent. By the end, you’ll be able to:
- Understand how voice AI actually works under the hood — the speech-to-text, LLM, and text-to-speech pipeline
- Pick the right platform for your budget, team, and use case
- Design conversation flows that feel natural, handle interruptions, and know when to escalate
- Write voice-optimized prompts that sound like a real person (not a robot reading a script)
- Build a working voice agent for customer support, sales, or appointment booking
- Monitor your agent’s performance and catch problems before your customers do
What You'll Learn
- Explain the three-component voice AI architecture: STT, LLM, and TTS
- Compare voice AI platforms and evaluate which fits your use case
- Design conversation flows that handle interruptions, ambiguity, and escalation
- Write voice-optimized system prompts that sound natural when spoken
- Build a working AI voice agent for customer service or appointment booking
- Implement testing and monitoring to maintain voice agent quality
After This Course, You Can
What You'll Build
Course Syllabus
Who Is This For?
- Business owners tired of missed calls
- Customer service managers looking to scale without hiring
- Developers curious about voice AI
- Entrepreneurs who see the voice AI opportunity
Frequently Asked Questions
Do I need coding experience?
Not for most of this course. We cover both no-code platforms (like Synthflow and Retell's visual builder) and developer tools (like Vapi's API). You'll find value either way.
Which voice AI platform does this course use?
We cover multiple platforms — Vapi, Retell, Bland, Synthflow, and others — so you can pick the one that fits your budget and technical comfort. The principles work across all of them.
How much does it cost to run a voice agent?
Typical costs range from $0.05 to $0.30 per minute depending on the platform and providers you choose. Most platforms offer free tiers or trial credits to get started.
Is there a certificate?
Yes. Complete all 8 lessons and pass the quizzes to earn a verifiable Voice AI certificate with a unique credential ID.
